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Harvard CS50 AI Week 4: Learning — Supervised Learning, k-NN, SVM, Reinforcement Learning Q-learning & Nim

Week 4 enters ML: supervised classification (k-NN, SVM, Perceptron), model evaluation, RL basics (MDP, Q-learning, ε-greedy). Projects: Shopping (purchase prediction with k-NN) and Nim (learning to play via Q-learning).

CMU 10-301 HW3: Compare K-NN, Perceptron, and Linear Regression

HW3 is written work: a decision-tree review followed by K-NN, Perceptron, and Linear Regression through inductive bias, errors, and model selection.